Intelligent classification of sketch strokes

Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/1751

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DC Field	Value	Language
dc.contributor.author	Qin, SF	-
dc.coverage.spatial	4	en
dc.date.accessioned	2008-02-29T12:06:26Z	-
dc.date.available	2008-02-29T12:06:26Z	-
dc.date.issued	2005	-
dc.identifier.citation	IEEE EUROCON2005 “Computer As a Tool”, Belgrade, Serbia & Montenegro, 22-24,2005, pp. 1374-1377	en
dc.identifier.isbn	1-4244-0049-X	-
dc.identifier.uri	http://bura.brunel.ac.uk/handle/2438/1751	-
dc.description.abstract	This paper presents an intelligent method for classifying pen strokes in an on-line sketching system. The method, based on adaptive threshold and fuzzy knowledge with respect to curve's linearity and convexity, can identify sketch strokes (curves) into lines, circles, arcs, ellipses, elliptical arcs, loop lines, spring lines and free-form B-spline curves. The proposed method has proven to be fast, suitable for real-time classification and identification.	en
dc.format.extent	1971043 bytes	-
dc.format.mimetype	application/pdf	-
dc.language.iso	en	-
dc.publisher	IEEE	en
dc.subject	Fuzzy knowledge	en
dc.subject	Curve classification	en
dc.subject	Curve fitting	en
dc.subject	Sketch recognition	en
dc.title	Intelligent classification of sketch strokes	en
dc.type	Conference Paper	en
dc.identifier.doi	http://dx.doi.org/10.1109/EURCON.2005.1630216	-
Appears in Collections:	Design Publications Brunel Design School Research Papers

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